Generate statement of work drafts that lock the scope before kickoff
Use Gixo when a services engagement needs a SOW first draft shaped by deliverables, acceptance criteria, milestones, pricing, and a clean reference back to the master agreement before counsel review and signature.
An AI SOW generator is a tool that drafts a statement-of-work first document — deliverables with acceptance criteria, milestones and dependencies, and a pricing model (time-and-materials, fixed-fee, milestone-based, retainer, or hybrid) — linked back to the governing master services agreement so IP, confidentiality, liability, and warranty terms inherit instead of being restated. Gixo generates this SOW draft with a deliverables matrix, change-order structure, and review workflow attached to the same document, then exports it in PDF, DOCX, HTML, or TXT for counsel review and signature. The job is not to ask AI for a legal answer — it is to prepare a draft a qualified reviewer can actually work with.
What does a useful AI-generated statement of work draft need?
The job is not to ask AI for a legal answer. The job is to prepare a draft or artifact that a qualified reviewer can actually work with.
Capture deliverables with acceptance criteria, owner, dependency, and review path so the SOW reads as an execution document, not a wish list.
Bring milestone dates, dependencies, contingency reserves, and acceptance windows into the draft instead of retrofitting them after kickoff.
Time-and-materials, fixed-fee, milestone-based, retainer, or hybrid — capture the right pricing structure with rate cards, caps, and overage handling.
Reference the master services agreement so IP, confidentiality, liability, and warranty terms inherit instead of being restated and drifted.
Define the change-order trigger, the approval path, the fee impact, and the timeline impact before scope shifts during execution.
Comments, review state, assignees, due dates, versions, and exports stay attached to the same document.
How does AI SOW drafting work?
Define the services, the duration, the team, the location, and the business outcome the engagement is buying.
Define each deliverable with the criteria that decide done, the owner, and the dependencies blocking it.
Link the SOW to the governing MSA so the contractual framework, IP terms, and confidentiality scope inherit.
Review with project leads and counsel inside the workspace, then export in PDF, DOCX, HTML, and TXT for signature.
What does Gixo's AI SOW generator include, and how does it compare to a Word template or generic AI?
| Capability | Gixo | Word template | Generic AI | Project mgmt tool |
|---|---|---|---|---|
| SOW-shaped intake (scope, deliverables, pricing) | Structured | Form fields only | Prompt only | Task list |
| Linked-to-MSA inheritance | Built in | Manual paste | Manual | No |
| Acceptance criteria per deliverable | First-class | Free text | Variable | Variable |
| Change-order and overage handling | Structured | Free text | Variable | No |
| Reference-file grounding from prior SOWs | Yes | No | Paste only | No |